piecewise_summ_figure: Piecewise linear figure

In amymariemason/SUMnlmr: Non-Linear Mendelian Randomization On Partially Summarized Data

Piecewise linear figure

Description

piecewise_figure plots the piecewise linear function.

Usage

piecewise_summ_figure(
  xcoef,
  coef,
  xmean,
  lci,
  uci,
  xbreaks,
  family = "gaussian",
  ref = mean(xmean),
  pref_x = "x",
  pref_x_ref = "x",
  pref_y = "y",
  breaks = NULL,
  ci_fig = "point"
)

Arguments

xcoef	the association between the exposure and the instrument.
coef	the coefficients of the localized causal effects.
xmean	mean of each x stratum (for plotting point estimates)
lci	upper confidence interval range for each causal effects
uci	upper confidence interval range for each causal effects.
xbreaks	breakpoints in x (for plotting line estimates)
family	a description of the error distribution and link function to be used in the model. This is a character string naming either the gaussian (i.e. "gaussian" for continuous data) or binomial (i.e. "binomial" for binary data) family function.
ref	the reference point for the figure. This is the value of the that represents the expected difference in the outcome compared with this reference value when the exposure is set to different values. The default is the mean of x.
pref_x	the prefix/label for the x-axis. The default is "x".
pref_x_ref	the prefix for the reference value displayed on the y-axis. The default is "x".
pref_y	the prefix/label for the y-axis. The default is "y".
breaks	breaks on the y-axis of the figure.
ci_fig	point confidence intervals, or as ribbon ("point" or "ribbon")

Value

the plot of the piecewise linear function.

Author(s)

Amy Mason [e-mail], leaning on work by James Statley and Matt Arnold

amymariemason/SUMnlmr documentation built on July 22, 2024, 10:03 a.m.